Variability of measured resting metabolic rate

Haugen, Heather; Melanson, Edward L.; Tran, Zung Vu; Kearney, Jay T.; Hill, James O.

doi:10.1093/ajcn/78.6.1141

Cited by 127 publications

(80 citation statements)

References 19 publications

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“…A study comparing the area under the curve of RMR above baseline measures over 6 h documented a total caloric increase from a 1200-kcal meal of 80-90 kcal (Kinabo & Durnin, 1990;Haugen et al, 2003). The percentage of kcal burned during the fourth and fifth hour are 22 and 9%, respectively (Reed & Hill, 1996), suggesting a limited increase above true RMR by measurement after a 4-h fast.…”

Section: Discussionmentioning

confidence: 99%

“…A 7-min (Schols et al, 1992), a 10-min (Igawa et al, 2002), and a 25-min (Kashiwazaki et al, 1990) rest have been tested with no significant difference in RMR afterward. A protocol using a 30 min rest for the morning measure but a 15 min rest in the afternoon (Haugen et al, 2003) found o100 kcal difference in RMR, a difference that may have reflected the combined effects of rest time and length of fasting (12 vs 4 h). Thus the 15 min rest time employed in the current study was likely not a source of measurement error.…”

Section: Discussionmentioning

confidence: 99%

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Comparison between Medgem and Deltatrac resting metabolic rate measurements

et al. 2005

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Objective: The primary aims of this trial were to evaluate the reproducibility of a portable handheld calorimeter (Medgem) in a clinical population, and to compare its measures with a calorimeter in typical use with these patients. Design: Cross-sectional clinical validation study. Setting: Outpatient Clinical Research Center. Subjects: A total of 24 stable home nutrition support patients. Interventions: In random order three measures of resting metabolic rate (RMR) were taken after a 4-h fast, 15 min rest and 2-h abstention from exercise. Two measures were taken with the same Medgem (MG) and one with the traditional calorimeter (Deltatrac). Reproducibility of MG measures and their comparability to a Deltatrac measure were assessed by Bland-Altman analysis, with 47250 kcal/day established a priori as a clinically unacceptable error. In addition, disagreement between the two types of measures was defined as greater than 10% difference. Results: The mean difference between two MG measures was À6.8 kcal/day, with limits of agreement between 233 and À247 kcal/day and clinically acceptable. The mean difference between the Deltatrac and mean of two MG measures was À162 kcal/day, with limits of agreement between 577 and À253 kcal/day and clinically unacceptable. In all, 80% of the repeated MG RMR measures agreed within 10%, and the mean MG reading agreed with the Deltatrac in 60% of cases. Conclusions: RMR obtained using the MG calorimeter has an acceptable degree of reproducibility, and is acceptable to patients. The MG measures, however, are frequently lower than traditional measures and require further validation prior to application to practice in this vulnerable patient group.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Comparison between Medgem and Deltatrac resting metabolic rate measurements

et al. 2005

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“…Resting energy expenditure was measured using the ventilated-hood technique [35]. Criteria for a valid resting energy expenditure were: a minimum of 15 min of steady state and no food intake for at least 4 h before the measurement.…”

Section: Methodsmentioning

confidence: 99%

Determinants of Overweight and Obesity in Lung Transplant Recipients

Bossenbroek¹,

Ouden

Greef

et al. 2011

Respiration

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Background: Obesity-related diseases have been shown to affect post-lung transplantation survival. An estimated 30% of lung transplant recipients develop overweight. Objective: The aim of this study was to examine the possible determinants of large increases in weight after lung transplantation. The contribution of physical activity, food intake, and resting energy expenditure was examined in lung transplant recipients. Methods: In this cross-sectional study 21 overweight lung transplant recipients (11 men, mean age 57 ± 7 years; BMI 30 ± 3) and 21 normal-weight lung transplant recipients (11 men, mean age 56 ± 5 years; BMI 22 ± 3) were matched for disease, gender, age, prescribed medication, and time since lung transplantation. Physical activity was measured by a pedometer and a questionnaire; resting energy expenditure was measured by the ventilated-hood technique, and daily food intake by a dietician. Additionally, fat-free mass, lower-body strength, and fatigue were measured. Results: The overweight lung transplant recipients had a significantly lower number of steps per day (4,686 ± 3,266 vs. 7,524 ± 3,448 steps/day, p = 0.01) and a lower fat-free mass (64 ± 9 vs. 75 ± 6%, p < 0.05) compared to normal-weight recipients. Obese subjects had a lower percentage of predicted resting energy expenditure level compared to normal-weight recipients (90 ± 14 vs. 100 ± 14% predicted, p = 0.04). Conclusion: Our data suggest that overweight in lung transplant recipients is associated with a lower fat-free mass and lower levels of physical activity and resting energy expenditure compared to normal-weight recipients.

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“…Dessa forma, baseando-se nos pressupostos de que as equações preditivas propostas até então não têm oferecido satisfatório nível de concordância; que a variação dos vieses de estimativa é de considerável magnitude em diferentes populações; e que as intervenções em programas de controle do peso corporal são facilitadas quando o equilíbrio energético é realizado mediante a identificação dos valores da TMB 17 , o objetivo do presente estudo foi comparar as medidas da TMB obtidas mediante recursos de calorimetria indireta com medidas estimadas por intermédio das equações preconizadas pela World Health Organization e pelo Henry & Rees 12 em uma amostra de universitários, na tentativa de apontar novos direcionamentos para a predição da TMB.…”

Section: N T R O D U ç ã Ounclassified

“…Outros estudos coletaram dados por 60 minutos, desconsiderando os 20 minutos iniciais 25 ou selecionando o período de tempo de maior estabilidade dos dados, resultando em um tempo de coleta maior ou menor de acordo com a variabilidade observada 26 . Assumindo que a variabilidade da medida da TMB possa ser estabelecida por fatores biológicos, instrumentos de medida e viés de medida, e que os viéses de medida incluem o erro técnico do avaliador e as variações quanto à adaptação dos avaliados aos equipamentos de medida 17 , parece razoável assumir que esses fatores possam explicar a acentuada variabilidade dos valores individuais encontrados no presente estudo. Não obstante, quantificar a contribuição desses vieses na medida da TMB torna-se uma tarefa difícil visto a subjetividade desses fatores.…”

Section: I S C U S S ã Ounclassified

Taxa metabólica basal em universitários: comparação entre valores medidos e preditos

2010

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OBJETIVO: Comparar a taxa metabólica basal medida por recursos de calorimetria indireta com a taxa metabólica basal estimada por equações de predição em universitários. MÉTODOS: A amostra foi constituída por 48 voluntários (23 moças e 25 rapazes) na faixa etária entre 20 e 25 anos. A taxa metabólica basal medida por calorimetria indireta foi comparada à taxa metabólica basal estimada pelas equações de predição propostas pela World Health Organization e por Henry & Rees. As informações foram analisadas mediante o teste t pareado, coeficiente de correlação intraclasse, desvio-padrão das diferenças e técnica de Bland-Altman. RESULTADOS: Não ocorreram diferenças significativas entre os valores da taxa metabólica basal medidos e estimados por ambas as equações de predição. Os coeficientes de correlação intraclasse entre os valores medidos e estimados foram significativos em linguagem estatística nos dois gêneros e mais elevados nos rapazes, e a magnitude do desvio-padrão das diferenças foi similar em ambos os gêneros. A técnica de Bland-Altman sugere comportamento de variabilidade similar entre a taxa metabólica basal medida e predita por ambas as equações, porém a taxa metabólica basal predita pela equação de Henry & Rees apresentou coincidências mais elevadas, sobretudo entre as moças. CONCLUSÃO: Mediante indicadores estatísticos mais conservadores, conclui-se que a taxa metabólica basal medida por recursos de calorimetria indireta e predita por ambas as equações não apresentam diferenças significativas. No entanto, ao considerar procedimentos estatísticos aparentemente de maior sensibilidade na detecção de eventuais diferenças entre os valores medidos e preditos, verificou-se algum comprometimento quanto à potencialidade das equações para estimar a taxa metabólica basal, apresentando viés entre 12,5% e 15,6% em comparação com a taxa metabólica basal medida por recursos de calorimetria indireta.

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Variability of measured resting metabolic rate

Abstract: Repeated morning and evening measurements of RMR were stable and highly correlated. Day-to-day measurements of RMR were not significantly different. RMR measured in the afternoon after a 4-h fast and exercise was approximately 100 kcal/d higher than RMR measured in the morning.

Cited by 127 publications

References 19 publications

Comparison between Medgem and Deltatrac resting metabolic rate measurements

Comparison between Medgem and Deltatrac resting metabolic rate measurements

Determinants of Overweight and Obesity in Lung Transplant Recipients

Taxa metabólica basal em universitários: comparação entre valores medidos e preditos

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